Literature DB >> 23023963

Normal breast parenchyma: contrast enhancement kinetics at dynamic MR mammography--influence of anthropometric measures and menopausal status.

Katrin Hegenscheid1, Carsten O Schmidt, Rebecca Seipel, René Laqua, Ralf Ohlinger, Jens-Peter Kühn, Norbert Hosten, Ralf Puls.   

Abstract

PURPOSE: To study T1 baseline signal intensity (SI) and contrast material enhancement kinetics of normal breast parenchyma by using dynamic contrast-enhanced (DCE) magnetic resonance (MR) mammography and to determine the influence of anthropometric measures and menopausal status on the variability of these features.
MATERIALS AND METHODS: Institutional review board approval and written informed consent were obtained. Between June 2008 and September 2011, 345 women (age range, 26-81 years; mean age, 51.3 years ± 11.6 [standard deviation]) underwent DCE MR mammography, with T1-weighted three-dimensional MR images (repetition time msec/echo time msec, 8.86/4.51; flip angle, 25°) acquired with a 1.5-T whole-body MR unit before and 1, 2, 3, 4, and 5 minutes after a gadobutrol bolus injection of 0.1 mmol per kilogram of body weight. Regions of interest were traced manually, and T1 SI of parenchyma was recorded. The influence of different predictors of T1 baseline SI and contrast enhancement was studied by using random-effects models.
RESULTS: T1 baseline SI varied considerably between women, with a mean of 167.7 ± 49.2 (71.4-424.7 [range]) and 175.9 ± 48.9 (51.8-458.3) in the right and the left breast, respectively (P < .01). T1 baseline SI increased linearly with age (P < .0001) and body weight (P < .0001). After contrast material delivery, relative percentage of enhancement was 8.1%, 13.8%, 18.2%, 22.1%, and 24.6% at 1, 2, 3, 4, and 5 minutes, respectively, but varied considerably between women. Contrast enhancement was 9.3% in the lowest quintile and 47.4% in the highest. Contrast enhancement increased with body weight (P < .01) but decreased in postmenopausal women (P < .01). Women with higher baseline T1 SI tended to have a higher contrast enhancement slope.
CONCLUSION: Anthropometric measures and menopausal status contribute to a large variability in contrast enhancement of normal breast parenchyma. This might influence the interpretation of contrast enhancement kinetics of breast lesions and current strategies for determining contrast medium dose for breast MR imaging. RSNA, 2012

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23023963     DOI: 10.1148/radiol.12112590

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  7 in total

Review 1.  Evaluation of background parenchymal enhancement on breast MRI: a systematic review.

Authors:  Bianca Bignotti; Alessio Signori; Francesca Valdora; Federica Rossi; Massimo Calabrese; Manuela Durando; Giovanna Mariscotto; Alberto Tagliafico
Journal:  Br J Radiol       Date:  2016-12-07       Impact factor: 3.039

2.  Background Parenchymal Enhancement and Fibroglandular Tissue Proportion on Breast MRI: Correlation with Hormone Receptor Expression and Molecular Subtypes of Breast Cancer.

Authors:  Mesut Öztürk; Ahmet Veysel Polat; Yurdanur Süllü; Leman Tomak; Ayfer Kamalı Polat
Journal:  J Breast Health       Date:  2017-01-01

3.  Diffusion tensor imaging in the normal breast: influences of fibroglandular tissue composition and background parenchymal enhancement.

Authors:  Michael Jonathan Plaza; Elizabeth A Morris; Sunitha B Thakur
Journal:  Clin Imaging       Date:  2015-12-08       Impact factor: 1.605

4.  Harmonization of Quantitative Parenchymal Enhancement in T1 -Weighted Breast MRI.

Authors:  Bas H M van der Velden; Michael J van Rijssel; Beatrice Lena; Marielle E P Philippens; Claudette E Loo; Max A A Ragusi; Sjoerd G Elias; Elizabeth J Sutton; Elizabeth A Morris; Lambertus W Bartels; Kenneth G A Gilhuijs
Journal:  J Magn Reson Imaging       Date:  2020-06-03       Impact factor: 4.813

5.  Prediction of background parenchymal enhancement on breast MRI using mammography, ultrasonography, and diffusion-weighted imaging.

Authors:  Akiko Kawamura; Hiroko Satake; Satoko Ishigaki; Mitsuru Ikeda; Reiko Kimura; Kazuhiro Shimamoto; Shinji Naganawa
Journal:  Nagoya J Med Sci       Date:  2015-08       Impact factor: 1.131

6.  Correcting time-intensity curves in dynamic contrast-enhanced breast MRI for inhomogeneous excitation fields at 7T.

Authors:  Michael J van Rijssel; Josien P W Pluim; Hui-Shan M Chan; Lieke van den Wildenberg; Alexander M Th Schmitz; Peter R Luijten; Kenneth G A Gilhuijs; Dennis W J Klomp
Journal:  Magn Reson Med       Date:  2019-12-27       Impact factor: 4.668

Review 7.  SHIP-MR and Radiology: 12 Years of Whole-Body Magnetic Resonance Imaging in a Single Center.

Authors:  Norbert Hosten; Robin Bülow; Henry Völzke; Martin Domin; Carsten Oliver Schmidt; Alexander Teumer; Till Ittermann; Matthias Nauck; Stephan Felix; Marcus Dörr; Marcello Ricardo Paulista Markus; Uwe Völker; Amro Daboul; Christian Schwahn; Birte Holtfreter; Torsten Mundt; Karl-Friedrich Krey; Stefan Kindler; Maria Mksoud; Stefanie Samietz; Reiner Biffar; Wolfgang Hoffmann; Thomas Kocher; Jean-Francois Chenot; Andreas Stahl; Frank Tost; Nele Friedrich; Stephanie Zylla; Anke Hannemann; Martin Lotze; Jens-Peter Kühn; Katrin Hegenscheid; Christian Rosenberg; Georgi Wassilew; Stefan Frenzel; Katharina Wittfeld; Hans J Grabe; Marie-Luise Kromrey
Journal:  Healthcare (Basel)       Date:  2021-12-24
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.